Triple

T9854834
Position Surface form Disambiguated ID Type / Status
Subject Weeds E239556 entity
Predicate executiveProducer P7225 FINISHED
Object Mark A. Burley
Mark A. Burley is a television producer best known for his work on the acclaimed dark comedy-drama series "Weeds."
 E885339 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mark A. Burley | Statement: [Weeds, executiveProducer, Mark A. Burley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark A. Burley
Context triple: [Weeds, executiveProducer, Mark A. Burley]
  • A. David J. Burke
    David J. Burke is a television producer and writer best known for his work as an executive producer on the science fiction series SeaQuest DSV.
  • B. Michael W. Burns
    Michael W. Burns is an actor known for his role in the Western television miniseries "Broken Trail."
  • C. David E. Talbert
    David E. Talbert is an American playwright, author, and filmmaker known for his romantic comedies and stage-to-screen adaptations.
  • D. Bruce A. Blakeman
    Bruce A. Blakeman is an American politician and attorney who serves as the County Executive of Nassau County, New York.
  • E. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mark A. Burley
Triple: [Weeds, executiveProducer, Mark A. Burley]
Generated description
Mark A. Burley is a television producer best known for his work on the acclaimed dark comedy-drama series "Weeds."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark A. Burley
Target entity description: Mark A. Burley is a television producer best known for his work on the acclaimed dark comedy-drama series "Weeds."
  • A. David J. Burke
    David J. Burke is a television producer and writer best known for his work as an executive producer on the science fiction series SeaQuest DSV.
  • B. Michael W. Burns
    Michael W. Burns is an actor known for his role in the Western television miniseries "Broken Trail."
  • C. David E. Talbert
    David E. Talbert is an American playwright, author, and filmmaker known for his romantic comedies and stage-to-screen adaptations.
  • D. Bruce A. Blakeman
    Bruce A. Blakeman is an American politician and attorney who serves as the County Executive of Nassau County, New York.
  • E. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69de54a30b748190bb791078e9dde442 completed April 14, 2026, 2:52 p.m.
NEDg Description generation batch_69de5952f6c48190abd3b87372d54f58 completed April 14, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69de5ed49c9c8190a4085407f88d7a05 completed April 14, 2026, 3:35 p.m.
Created at: March 30, 2026, 8:34 p.m.